首页|Data on Machine Learning Published by Researchers at Pusan National University ( Alternative predictive approach for low-cycle fatigue life based on machine lear ning and energy-based modeling)

Data on Machine Learning Published by Researchers at Pusan National University ( Alternative predictive approach for low-cycle fatigue life based on machine lear ning and energy-based modeling)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reportingfrom Busan, South Korea, by NewsRx journalists, research stated, “Mg alloys are extremely valuable in theautomoti ve and aerospace industries because of their lightweight properties and excellen t machinability.”

Pusan National UniversityBusanSouth KoreaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.10)